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How to Clean Up Your Website's Search Console Data

Kong Metrics Team · · 2 min read

Google Search Console is powerful, but it is notoriously messy. If you have an e-commerce site, a large blog, or a complex faceted navigation system, your GSC Performance report is likely flooded with junk data.

Trying to analyze your true SEO performance while sifting through thousands of parameter URLs, trailing slash duplicates, and cannibalizing pages is like trying to read a book through dirty glasses.

To generate actionable insights, you must first Clean Up Your Data.

Dealing with Parameter URLs

The biggest culprit of messy GSC data is URL parameters (e.g., ?sort=price, ?color=red, or ?sessionid=123).

Google often crawls and indexes these variations, flooding your GSC Pages report with hundreds of nearly identical URLs that all split tiny fractions of impressions. This makes it impossible to see the true performance of the primary product page.

Fixing Cannibalization

This URL bloat directly leads to Keyword Cannibalization. If Google doesn't know whether to rank the main category page or the ?sort=newest version, neither will perform well.

The first step in data cleanup is identifying these fractured URLs. The Kong Metrics Keyword Cannibalization tool calculates the Entropy of your clicks, instantly highlighting queries that are bleeding across messy parameter URLs.

Once identified, you must clean your site architecture by implementing strict rel="canonical" tags on all parameterized URLs pointing back to the clean, primary URL.

Using URL Clustering for Clean Reporting

Even after fixing canonical tags, GSC will still retain historical data for the messy URLs, cluttering your reports.

To create clean, readable reports for stakeholders, you must abstract the data using URL Clustering.

Instead of fighting with GSC's limited filter bar to exclude parameters, Kong Metrics allows you to build clean, permanent clusters.

  • You can create a rule that groups all clean /product/ URLs into one bucket, completely ignoring the long-tail parameter junk.
  • You can cluster by intent, grouping all your core service pages together for a macro-level view of your business performance.

By actively fixing cannibalization issues and abstracting your reporting via URL Clustering, Kong Metrics helps you turn a chaotic database of 50,000 messy URLs into a handful of clean, actionable business metrics.